Remote Senior Sensing Algorithms Engineer for CGM

Dexcom Inc.; California; Remote; USD 111,000 - 185,000; Full time

Benefits offered by this job

Healthcare benefits

Career growth

Job summary

Dexcom Inc. is seeking a highly skilled algorithm scientist to lead development of advanced algorithms for next-generation CGM technology.

You will build physics-based, mechanistic, and data-driven models to comprehend sensor behavior and improve measurement performance, while designing signal processing, estimation, calibration, detection, and predictive algorithms. You will apply statistical modeling and data analytics to diverse datasets from bench to real-world usage, drive clinical

Qualifications

• Expert in statistical estimation, signal processing, optimization, and modeling.
• Strong ML knowledge with practical model development experience.
• Experience in sensing technologies, medical devices, or related disciplines.

Responsibilities

• Lead development of advanced algorithms for next-generation glucose sensing.
• Develop physics-based, mechanistic, and data-driven models to characterize sensor behavior.
• Design and implement signal processing, estimation, calibration, detection, and predictive algorithms.
• Apply statistical modeling and data analytics to bench, preclinical, clinical, and real-world data.
• Drive clinical performance assessments and algorithm maturation with cross-functional teams.
• Evaluate algorithm performance via simulation, modeling, and experiments.
• Provide technical insights on architecture, tradeoffs, verification, and implementation.

Skills

Python

MATLAB

C/C++

Machine learning

Education

Bachelor’s degree in technical field

Master’s degree in related field

PhD in related field

Tools

Signal processing

Statistical modeling

Job description

Dexcom Inc. is seeking a highly skilled algorithm scientist to lead development of advanced algorithms for next-generation CGM technology.

You will build physics-based, mechanistic, and data-driven models to comprehend sensor behavior and improve measurement performance, while designing signal processing, estimation, calibration, detection, and predictive algorithms. You will apply statistical modeling and data analytics to diverse datasets from bench to real-world usage, drive clinical